BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks

Documenti analoghi

• BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
  di: Wu, Baoyuan, et al.
  Pubblicazione: (2024)
• Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation
  di: Zheng, Meixi, et al.
  Pubblicazione: (2025)
• Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers
  di: Wang, Ruotong, et al.
  Pubblicazione: (2023)
• Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
  di: Wu, Baoyuan, et al.
  Pubblicazione: (2023)
• A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild
  di: Ling, Xiang, et al.
  Pubblicazione: (2024)